Databasin vs Palantir Foundry
Choose Databasin when you want a team to deliver a defined analytical or workflow improvement on its own platform. Choose Palantir Foundry when your application program centers on its model of business objects, relationships and actions. Compare the work people must complete, the systems it touches and the implementation arrangement that will support it.
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Choose by application scope
Choose Databasin if…
- You want the team delivering the first business outcome to support it afterwards.
- The work combines connected sources, analysis and recurring business workflows.
- You want rollout and training included with the technical delivery.
Choose Palantir Foundry if…
- Your applications depend on a shared model of objects and actions.
- Foundry's operational application approach fits the work people must complete.
- Your delivery arrangement can develop and support that application program.
What are you choosing between?
| Criterion | Databasin | Palantir Foundry |
|---|---|---|
| Starting point | Defined business improvement with a delivery team | Application program built around the Ontology |
| Business meaning | Shared views and implemented metric definitions | Business objects, properties and relationships |
| User experience | Data Apps, analytical chat and workflows | Analytical and operational applications over objects |
| Operational work | Authorized automation tasks alongside read-only agents | Actions and functions connected to business objects |
| Implementation | Platform team designs, builds and introduces | Your selected Foundry delivery arrangement |
| Continuing work | Managed operation or agreed support | Application and ontology ownership within the program |
Business model
How is the business represented?
Databasin
We connect the records and implement the measures needed by the application. Shared business views hold those definitions for reporting and analytical questions. That gives people a consistent basis for examining the work and asking how a result was calculated.
- Connect the required enterprise source records
- Implement shared measures and their relationships
- Use governed views for business analysis
Palantir Foundry
Foundry applications use an Ontology of business objects, properties and relationships. Actions and functions sit alongside that model. This connects what people analyze with the operational changes they are allowed to make under the organization's controls.
- Represent business objects and properties
- Connect objects through defined relationships
- Model actions alongside analytical meaning
Applications
How do people act on the data?
Databasin
People can use Data Apps and analytical agents to examine the connected data. Agents return evidence from read-only investigations. When the process also needs a transformation or an action in another system, we implement a separate automation task with permission to perform it.
- Investigate questions with supporting SQL evidence
- Use Data Apps for shared analysis
- Automate authorized tasks around the process
Palantir Foundry
Builders use Workshop to create applications over Ontology objects and actions. The interface can show the objects relevant to a user and connect them to permitted actions. This brings the application's business logic and operational behavior through the same model.
- Present the relevant business objects
- Connect interfaces to modeled actions
- Develop applications for operational users
Delivery
Who carries the work through delivery?
Databasin
We design the process, build the application and help people put it into use. Rollout and training are included. Our team can then operate the completed work, provide support each month or stay on call, under the arrangement agreed for the engagement.
- Define the outcome and success measures
- Build and introduce the application
- Agree ongoing operation or support
Palantir Foundry
The Foundry delivery arrangement covers the selected applications and their model. It can assign work to vendor, partner and internal teams. The scope needs to include introduction to users and continuing development, so the proposal accounts for the whole application program.
- Establish the application and model scope
- Define responsibilities in the delivery arrangement
- Include adoption and continuing application development
Building on the work already done
Databasin
Deliver a focused improvement across existing enterprise systems
Databasin can deliver a defined use case across existing enterprise sources. We connect the required records, build the application and automate the permitted work around it. The engagement includes introduction to users and establishes how the result will be operated and supported.
- A business process defines the first useful result
- The work spans existing enterprise source systems
- Implementation and support need an agreed delivery owner
Palantir Foundry
Extend operational applications already using a shared Ontology
Foundry fits when its objects and actions already support work people need to complete. An extension can build on that behavior. If considering a replacement, include approvals and record changes in the scope as well as the information people view; all of those may depend on the existing model.
- Existing applications depend on modeled business actions
- Shared objects support several operational workflows
- The current delivery arrangement can extend the model
Databasin · How we work · 2026
Palantir · Ontology overview · 2026
Palantir · Workshop overview · 2026
What happens next
We would like to hear where your team wants to make progress with data and AI. We can discuss a project you have in mind or explore where Databasin could help with the work.
What happens next
Book a demo
Book a conversation about your organization and the work you want to improve. Questions about where to start are welcome.
Explore the opportunity
We show a working example that answers your business questions, then discuss what it would take to deliver it for your team.
Get the first result
After agreeing the first use case, we implement it with your team. We train the people using it and measure how it performs.
FAQ
What does an ontology add to ordinary data tables?
An order or asset can be represented as a business object with relationships and permitted actions. Foundry applications use those concepts to connect analysis with operational work. Replacing the application therefore involves preserving what those objects mean and what people can do with them.
What needs to move when replacing a Foundry application?
We examine what users do in the application, then map the definitions, relationships, permissions and actions behind those tasks. The replacement needs to reproduce the required behavior as well as carry the data. Our team tests the proposed equivalents against that work.
How should approvals be treated in an application comparison?
We map the approval from proposed change through acceptance to the system that records the result. Each step has a responsible person and permitted action. That sequence guides how we build the interface and any authorized tasks supporting it.
Can a Databasin analytical agent write back to a production source?
No. The agent can only read production sources. It inherits existing connection permissions and runs within limits. A change to data or an action in another system requires a separate automation task, with explicit permission for that operation.
Where does Databasin fit for hospitals and universities?
We can connect Epic, Workday and other institutional sources and build the analytical or workflow application they support. Our team handles definitions and adoption as well as connections. The use case determines the history and access its users need.
Must an existing lakehouse move into Databasin?
No. Databasin can connect to useful work in Databricks, Snowflake or Fabric. We design the new application around the retained environment. The organization can then assess a change to its business application while keeping the data platform that supports it.
Can the Databasin implementation run in our Azure tenant?
Yes. Private Azure is available alongside hosted and existing-platform arrangements. We design the source connections, identities and model-provider path for the chosen environment. That work establishes how the application stays within the data boundary the organization requires.
How does Databasin establish the first application scope?
We establish the outcome, expected return and process changes during Design. Our offer is to get the first use case live in 90 days. The implementation includes rollout, training and measures of success so the delivery reaches the people who need the result.
Discuss your operational data work
Talk with us about the work your teams need to complete and the applications they use today. We can explore where Databasin fits, which systems remain useful and how implementation and ongoing support would be arranged.